Results 51 to 60 of about 8,194,450 (255)

Drug-target interaction prediction using Multi Graph Regularized Nuclear Norm Minimization

, 2020
The identification of potential interactions between drugs and target proteins is crucial in pharmaceutical sciences. The experimental validation of interactions in genomic drug discovery is laborious and expensive; hence, there is a need for efficient ...
Angshul Majumdar (6271007), Aanchal Mongia (6271001), Aanchal Mongia, Angshul Majumdar   +3 more
core   +1 more source

Prediction of human drug clearance and anticipation of clinical drug-drug interaction potential from in vitro drug transport studies [PDF]

, 2014
A major concern in drug development is the characterization of new molecular entities (NMEs) with respect to their safety and efficacy. Both factors are determined by the drug’s exposure within the body which itself is affected by drug clearance ...
Kunze, Annett
core   +1 more source

Septin 9 PB domains coordinate centrosome positioning and microtubule acetylation to control epithelial polarity

FEBS Letters, EarlyView.
Septin 9 polybasic domains couple phosphoinositide‐rich membrane binding to centrosome positioning, Golgi organization, and microtubule acetylation to control epithelial polarity. Their loss disrupts this axis, causing centrosome mispositioning, Golgi fragmentation, reduced microtubule acetylation, and polarity inversion via upregulation of the ...
Ting ting Cai, Mohyeddine Omrane, Nassima Benzoubir, Didier Samuel, Ama Gassama‐Diagne   +4 more
wiley   +1 more source

Detecting Drug–Target Interactions with Feature Similarity Fusion and Molecular Graphs

Biology, 2022
The key to drug discovery is the identification of a target and a corresponding drug compound. Effective identification of drug–target interactions facilitates the development of drug discovery.
Xiaoli Lin, Shuai Xu, Xuan Liu, Xiaolong Zhang, Jing Hu   +4 more
doaj   +1 more source

Degradation mechanism of the von Willebrand factor A2 domain by nattokinase

FEBS Letters, EarlyView.
Nattokinase, a natto‐derived protease, exhibits potent antithrombotic effects. This study demonstrates that nattokinase directly cleaves the von Willebrand factor (vWF) A2 domain in vitro. Unlike the native regulator ADAMTS13, nattokinase degrades folded vWF independently of shear stress.
Ryuichi Hyakumoto, Masatomo So, Ayako Furukawa, Kenji Sugase   +3 more
wiley   +1 more source

Drug repositioning or target repositioning: A structural perspective of drug-target-indication relationship for available repurposed drugs

Computational and Structural Biotechnology Journal, 2020
Drug repositioning aims to find new indications for existing drugs in order to reduce drug development cost and time. Currently,there are numerous stories of successful drug repositioning that have been reported and many repurposed drugs are already ...
Daniele Parisi, Melissa F. Adasme, Anastasia Sveshnikova, Sarah Naomi Bolz, Yves Moreau, Michael Schroeder   +5 more
doaj   +1 more source

Salmonella lipopolysaccharide‐containing supported lipid bilayers as platforms to study bacteriophage interactions

FEBS Letters, EarlyView.
We present robust protocols for the preparation of supported lipid bilayers (SLBs) incorporating either Salmonella smooth LPS or outer membrane vesicles (OMVs). We use a combination of quartz crystal microbalance with dissipation (QCM‐D) and fluorescence microscopy to both characterize the SLBs of various compositions and to probe their interactions ...
Hudson P. Pace, Alyssa Borges, Charles Arnaud, Tove Karlsson, Nina K. Bröker, Stefanie Barbirz, Marta Bally   +6 more
wiley   +1 more source

Drug-Online: an online platform for drug-target interaction, affinity, and binding sites identification using deep learning

BMC Bioinformatics
Background Accurately identifying drug-target interaction (DTI), affinity (DTA), and binding sites (DTS) is crucial for drug screening, repositioning, and design, as well as for understanding the functions of target.
Xin Zeng, Guang-Peng Su, Shu-Juan Li, Shuang-Qing Lv, Meng-Liang Wen, Yi Li   +5 more
doaj   +1 more source

AutoDTI++: deep unsupervised learning for DTI prediction by autoencoders

BMC Bioinformatics, 2021
Background Drug–target interaction (DTI) plays a vital role in drug discovery. Identifying drug–target interactions related to wet-lab experiments are costly, laborious, and time-consuming.
Seyedeh Zahra Sajadi, Mohammad Ali Zare Chahooki, Sajjad Gharaghani, Karim Abbasi   +3 more
doaj   +1 more source

Microbiome−host proteostasis crosstalk—An emerging perspective on mechanisms and interventions toward healthy longevity

FEBS Letters, EarlyView.
Proteostasis and the gut microbiota play a key role in shaping host physiology. Microbiota‐derived metabolites, vitamins, and RNA modulate host proteostasis. Findings from model systems, including C. elegans, indicate microbes can either stabilize or disrupt host proteostasis.
Abhishek Anil Dubey, Maria Ermolaeva
wiley   +1 more source